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Regression line on weight and result

With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.

The formula for the regression line on the riders in the result is as follows:

result = -0.1 * weight + 18

This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# Rider Weight (KG)
1 MASSELIS Jules65
2 VAN DAELE Joseph68
3 PETIT-BRETON Lucien69
4 NIEDERGANG Constant70
5 ENGEL Louis72
6 THYS Philippe68
7 SPIESSENS Alfons72
8 DERUYTER Charles77
9 PÉLISSIER Henri72
10 FABER François89
11 CHRISTOPHE Eugène67
12 CHAUVIÈRE Alexandre67
13 LAMON Robert57
14 SALMON Félicien66
15 LETURGIE Maurice69
16 LÉONARD Edouard69
18 TIBERGHIEN Hector65
19 PAUL Ernest77
20 FRAISSINET Médéric77
21 HURET André68
22 VALLOTTON Léon66
24 HEUSGHEM Pierre-Joseph84
25 EVERAERTS Pierre66
26 EIGELDINGER Emile53
27 BERGERIOUX Auguste72